Method for Fast Judging and Optimizing Light Emitting Quality of Light Guide Plate Based on Image Processing Technology

ABSTRACT

The present invention discloses a method for fast judging and optimizing light emitting quality of a light guide plate based on an image processing technology. According to the method, an illuminance diagram of the light guide plate is regarded as a single-color image, illuminance information is converted into a gray level, gray levels of all pixel points are calculated through a gray level histogram, the light outgoing quality of the light guide plate is analyzed according to a discrete degree of the gray levels, positions of the gray levels discrete in distribution in the gray level histogram on the illuminance diagram are found out through programming, a net point filling rate in a corresponding area is directly optimized and is eliminated, and a uniformity degree evaluation formula with a precision P judgment criterion is given. The present invention effectively improves the optimizing efficiency of the light guide plate, and an optimized result is closer to an actual visual effect.

TECHNICAL FIELD

The present application belongs to the field of LED display and lighting, and particularly relates to a method for fast judging and optimizing light emitting quality of a light guide plate based on an image processing technology.

BACKGROUND

A light guide plate is an important component of a side entering type LED flat panel lamp, light emitted out of an LED is refracted through bottom surface net points and then is emitted out of a light outgoing surface, and its light outgoing quality determines a final lighting effect of the flat panel lamp. A uniformity degree of the light guide plate mainly depends on a scattering area and a distribution rule of net points, and currently, design of the net points is mainly achieved in a method of adjusting a spacing, a size, a shape or a density. In an optimizing design process, a judging link on the uniformity degree is essential, how to fast and accurately judge a distribution condition of brightness of the light guide plate and a position where a deviation point or area occurs is the key of improving an optimizing speed and quality of the light guide plate, which determines whether next decision making of a designer is right or not, and therefore a final design result is affected. The uniformity degree is a main part for evaluating light emitting quality of the light guide plate. Existing evaluation methods for the uniformity degree of the light guide plate are mainly software evaluation or multi-point measurement methods, evaluation methods are different, an optimized result does not have comparability, the evaluation methods do not comprehensively calculate all brightness information of the light outgoing surface, selected pixel points have certain one-sideness, the evaluation result is insufficient in objectivity, and thus it is crucially important to put forward a reasonable and effective evaluation method in a optimizing process.

SUMMARY

The present invention provides a method for fast judging and optimizing light emitting quality of a light guide plate based on an image processing technology, so as to solve a technical problem.

In order to solve the technical problem, the present invention adopts a following technical scheme: firstly, illuminance information of the light guide plate is converted into a gray level, gray levels of all pixel points are calculated through a gray level histogram, the light outgoing quality of the light guide plate is analyzed according to the gray level histogram, determined positions of the gray levels discrete in distribution in the gray level histogram on the illuminance diagram are fast found out cyclically through find function setting in a Matlab programming language, and then a net point filling rate of a corresponding area of a bottom surface of the light guide plate is further optimized and eliminated; the light outgoing uniformity of the light guide plate is evaluated by a uniformity degree evaluation formula with a precision P judgment criterion, and a uniformity degree U is defined as a sum of frequencies Ng/N of all the gray levels in ranges on the left and the right of the gray level gm highest in frequency each by P:

$U = {\sum\limits_{g = {g_{m} - P}}^{g_{m} + p}{\frac{N_{g}}{N}.}}$

When the scheme is carried out, firstly, the illuminance diagram of the light guide plate is regarded as a single-color image, that is, original illuminance values are all represented with gray levels, in this way, illuminance information of all points on the light guide plate is represented with the gray levels at a time, the gray levels are stored in a matrix type, and then occurring frequencies of the gray levels of all the points are represented in a type of a histogram, overall illuminance distribution is analyzed visually and comprehensively, a distribution range of the gray levels shows the uniformity degree, magnitudes of the gray levels reflect magnitudes of the illuminance values, the uniformity degree of the light guide plate is analyzed according to a discrete degree of the gray levels, a range of the gray levels is narrowed to improve uniformity, the gray level is improved as a whole so as to improve a lighting effect, as for the gray levels discrete in distribution in the gray level histogram, its specific positions on the illuminance diagram are determined through programming, and after a target illuminance value is determined according to a fact that the net point filling rate and the illuminance value are in positive correlation, the filling rate at which any area of the bottom surface of the light guide plate needs to be adjusted is resolved according to the extracted gray level. Based on the gray level histogram, the sum of the frequencies Ng/N of the gray levels in the certain range P on the left and the right of the gray level gm highest in frequency is selected as an evaluation formula of the uniformity degree U with the precision P judgment criterion,

$U = {\sum\limits_{g = {g_{m} - P}}^{g_{m} + p}{\frac{N_{g}}{N}.}}$

Further, after the gray level needing to be calibrated is set through a find function in a Matlab programming language or other languages, its specific position in the illuminance diagram is cyclically found out.

Further, a net point is in a shape of a circular truncated cone, a sphere or a cone.

Further, the net point filling rate is adjusted by changing a size, a spacing or a density of net points.

Further, the illuminance diagram is an image obtained due to software simulation or other detecting elements such as a CCD (Charge-Coupled Device).

The present invention has the beneficial effects that by performing graying on the illuminance diagram, and storing the illuminance information in a matrix, information extraction becomes fast and convenient; based on the gray histogram, the illuminance surface information is calculated comprehensively, the light emitting quality of the light guide plate is directly analyzed according to gray level distribution, and an accidental error caused by a fact that an evaluation formula used by existing TracePro software and an existing multi-point measurement method cannot calculate all illuminance data is avoided; the specific position corresponding to the gray level in great discreteness is found out due to programming, then the net point filling rate of the corresponding area of the bottom surface of the light guide late is optimized, precise and fast optimization is achieved easily, and the optimized result is closer to an actual visual effect; and a concept of the judgment precision P is put forward, in this way, it is facilitated that there are different evaluation standards for products in different industries.

BRIEF DESCRIPTION OF FIGURES

FIG. 1 is a model schematic diagram of a light guide plate used by the present invention;

FIG. 2 is an illuminance diagram before optimization;

FIG. 3 is a gray level histogram of the illuminance diagram before optimization;

FIG. 4 is an illuminance diagram after optimization; and

FIG. 5 is a gray level histogram of the illuminance diagram after optimization.

In the figures: 1—net point, 2—light guide plate, 3—LED light source, 4—detecting screen.

DETAILED DESCRIPTION

In order to elaborate the present invention in detail, the following is illustrated in conjunction with drawings. But examples taken as examples below are only used for explaining a method of the present invention, and cannot be used for judging or limiting its range of application.

Example I

FIG. 1 is a model diagram used by the present invention in a simulating process, modeling of a light guide plate 2 is performed with a net point 1 in a circular truncated cone shape as an example, a light source is an LED light source 3, a detecting screen 4 is added above a light outgoing surface, light outgoing brightness information is detected so that an illuminance diagram in FIG. 2 is obtained, a gray level histogram represents information of the illuminance diagram as in FIG. 3, a finally optimized illuminance diagram is as shown in FIG. 4, and a gray level histogram after being optimized is as shown in FIG. 5.

A method for fast judging and optimizing light emitting quality of a light guide plate based on an image processing technology includes the following specific manufacturing steps:

1. Modeling is performed in light tracing software as shown in FIG. 1, the LED light source 3 is distributed on one side of the light guide plate 1, the detecting screen 4 is added above the light outgoing surface, the net points 1 in the circular truncated cone shape are distributed on the bottom surface, and initial light tracing is performed;

2. The illuminance diagram 2 of the light guide plate before optimization is obtained, a software evaluation uniformity degree is 56.6%, and a lighting effect is 46.2%; after graying is performed on the light guide plate, information of all pixel points is calculated through a gray level histogram as shown in FIG. 3, at the moment, the gray level gm=148, wherein gm is the highest in frequency, and when P=20, according to a uniformity degree defining formula, U=27.6%, a gray level distribution range is 147;

3. On the basis of FIG. 3, the gray level in great discreteness is found out, the net point filling rate is optimized and eliminated, the gray levels are in concentrated distribution, the illuminance diagram 4 is obtained after optimization, software evaluation uniformity reaches 93%, the lighting effect is 66.5%, in the gray level histogram of FIG. 5, gm=227, when P=20, U=90.3%, a gray level distribution range is 90, the lighting effect is improved by 20.3% compared with that before optimization, the uniformity degree is improved by 62.7%, and a gray level distribution range is reduced by 57;

further, a size of the light guide plate in step 1 is 184*314*0.55 mm3.

Further, the light tracing software in step 1 is any one in TracePro and Lightools.

What needs to be illustrated is that the illuminance diagram can be an image obtained due to software simulation, or other detecting elements such as a CCD (Charge-Coupled Device).

The basic principle, main characteristics and advantages of the present invention are displayed and described above. What is described in the above example and the description only explains the principle of the present invention, on a premise without breaking away from spirit and a scope of the present invention, the present invention can also have various changes and improvements, and the changes and improvements all fall into the protective scope of the present invention. The protective range of the present invention is defined by attached claims and its equivalents. 

What is claimed is:
 1. A method for fast judging and optimizing light emitting quality of a light guide plate based on an image processing technology, wherein an illuminance diagram of the light guide plate is acquired and illuminance information of the light guide plate is acquired according to the illuminance diagram; wherein the illuminance information of the light guide plate is converted into a gray level; wherein gray levels of all pixel points are calculated through a gray level histogram; wherein the light outgoing uniformity of the light guide plate is analyzed according to discrete degree of the gray levels; wherein positions of the gray levels discrete in distribution in the gray level histogram on the illuminance diagram are cyclically found out through find function setting in a Matlab programming language, and the gray levels discrete in distribution are eliminated through directly optimizing a net point filling rate of a corresponding area of a bottom surface of the light guide plate.
 2. The method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim 1, wherein the light outgoing uniformity of the light guide plate is evaluated by a uniformity degree evaluation formula with a precision P judgment criterion, and a uniformity degree U is defined as the sum of frequencies Ng/N of all the gray levels in ranges on the left and the right of the gray level g_(m) highest in frequency each by P: $U = {\sum\limits_{g = {g_{m} - P}}^{g_{m} + p}{N_{g}/N}}$ Wherein N_(g) is the number of pixel point whose gray level is g; N is the total number of pixel points.
 3. The method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim 1, wherein illuminance information of all points on the light guide plate is represented with gray levels at a time, the gray levels are stored in a matrix type, and then occurring frequencies of the gray levels of all the points are represented in a type of a histogram.
 4. The method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim 1, wherein a distribution range of the gray levels reflects uniformity, and magnitudes of the gray levels reflect magnitudes of illuminance values.
 5. The method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim 1, wherein the light outgoing uniformity of the light guide plate is analyzed according to a discrete degree of the gray levels, and finding out positions of the gray levels discrete in distribution in the gray level histogram on the illuminance diagram through programming specifically is: the uniformity degree of the light guide plate is analyzed according to the discrete degree of the gray levels, a range of the gray levels is narrowed, the uniformity is improved, the gray level is improved as a whole so as to improve a lighting effect, and as for the gray levels discrete in distribution in the gray level histogram, the specific positions of the gray levels discrete in distribution on the illuminance diagram are determined through programming.
 6. The method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim 1, wherein after a target illuminance value is determined according to a fact that the net point filling rate and the illuminance value are in positive correlation, for any area of the bottom surface of the light guide plate, a net point filling rate to which the area needs to be adjusted is obtained according to the extracted gray level.
 7. The method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim 1, wherein the net point is in a shape of a circular truncated cone, a sphere or a cone.
 8. The method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim 1, wherein the net point filling rate is adjusted by changing size, spacing or density of net points.
 9. The method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim 1, wherein the illuminance diagram is an image obtained due to software simulation or a CCD (Charge-Coupled Device) detecting element.
 10. A device comprising a module implementing the method for fast judging and optimizing the light emitting quality of the light guide plate based on the image processing technology according to claim
 1. 